state.name

 [1] "Alabama"        "Alaska"        
 [3] "Arizona"        "Arkansas"      
 [5] "California"     "Colorado"      
 [7] "Connecticut"    "Delaware"      
 [9] "Florida"        "Georgia"       
[11] "Hawaii"         "Idaho"         
[13] "Illinois"       "Indiana"       
[15] "Iowa"           "Kansas"        
[17] "Kentucky"       "Louisiana"     
[19] "Maine"          "Maryland"      
[21] "Massachusetts"  "Michigan"      
[23] "Minnesota"      "Mississippi"   
[25] "Missouri"       "Montana"       
[27] "Nebraska"       "Nevada"        
[29] "New Hampshire"  "New Jersey"    
[31] "New Mexico"     "New York"      
[33] "North Carolina" "North Dakota"  
[35] "Ohio"           "Oklahoma"      
[37] "Oregon"         "Pennsylvania"  
[39] "Rhode Island"   "South Carolina"
[41] "South Dakota"   "Tennessee"     
[43] "Texas"          "Utah"          
[45] "Vermont"        "Virginia"      
[47] "Washington"     "West Virginia" 
[49] "Wisconsin"      "Wyoming"       

# install.packages("maps")
# library(maps)
# x <- map("world", plot=FALSE)
# glimpse(x)
# x$names

myTerm <- rstudioapi::terminalCreate(show = FALSE)
rstudioapi::terminalSend(
myTerm,
"xtract -input data/pubmed_result_SEER_MeSH.xml -pattern PubmedArticle -sep ' ' -def 'na' -element MedlineCitation/PMID PubDate/Year Affiliation> data/SEER_countries.csv \n"
)
Sys.sleep(1)
repeat {
Sys.sleep(0.1)
if (rstudioapi::terminalBusy(myTerm) == FALSE) {
print("Code Executed")
break
}
}

library(readr)
SEER_countries <- read_delim("data/SEER_countries.csv", 
    "\t", escape_double = FALSE, col_names = c("PMID", "year", "Affiliations"), 
    na = "NA", trim_ws = TRUE)

Parsed with column specification:
cols(
  PMID = col_integer(),
  year = col_character(),
  Affiliations = col_character()
)

# View(SEER_countries)

countries <- read_delim("data/countries.txt", delim = "|", col_names = c("abb", "country"))

Parsed with column specification:
cols(
  abb = col_character(),
  country = col_character()
)

country <- countries$country

country <- c(country, state.name)

country[80] <- "Georgia_"

# grepl(pattern = "China", x = SEER_countries$Affiliations)

# deneme1 <- grepl(pattern = country[44], x = SEER_countries$Affiliations)
    
# deneme2 <- sapply(country, function(x) grepl(x, SEER_countries$Affiliations))

# sum(deneme1 != deneme2[,44])

# deneme2 <- as.data.frame(deneme2)

# sum(deneme2$Turkey)

SEER_countries <- cbind(SEER_countries, sapply(country, function(x) grepl(x, SEER_countries$Affiliations)))

dim(SEER_countries)[1]

[1] 6240

# deneme <- colSums(SEER_countries[,-(1:3)])

# deneme <- as.data.frame(deneme)

# deneme <- rownames_to_column(deneme, var = "countries")

# names(deneme) <- c("countries", "number")

# deneme %>% arrange(desc(number))

SEER_countries

SEER_countries

NA

deneme %>% 
  filter(year != "na") %>%
  filter(year != "2017") %>% 
  filter(year != "2018") %>% 
ggplot() +
  aes(y = total, x = year, group = Country, color = Country) +
  geom_line() + 
  guides(fill=FALSE, color=FALSE) +
  theme(axis.text.x = element_text(angle = 90, hjust = 1))

USAnames <- names(SEER_countries) %in% state.name

Others <- setdiff(names(SEER_countries[-c(1:3)]), c(USAnames,"United States", "China"))


deneme2 <- SEER_countries %>% 
  mutate(
    sumUSA = rowSums(
      select(., one_of(USAnames), `United States`)
      )
    ) %>% 
mutate(
    sumOthers = rowSums(
      select(., one_of(Others))
      )
    ) %>% 
  select(PMID, year, China, USA = sumUSA, Others = sumOthers)

deneme3 <- deneme2 %>% 
  gather(key = "Country", value = "Number", -c(1:2)) %>% 
  group_by(PMID, Country, year) %>% 
  summarise(total = sum(Number))

table(together$First, together$Second) %>% addmargins()

        
         China Others Sum
  Others    19      0  19
  USA       15    165 180
  Sum       34    165 199

deneme4 <- deneme2 %>% 
  gather(key = "Country", value = "Number", -c(1:2)) %>% 
  group_by(Country, year) %>% 
  summarise(total = sum(Number)) %>% 
  filter(year != "na") %>%
  filter(year != "2017") %>% 
  filter(year != "2018") %>% 
  filter(total != "0")

deneme4 %>% 

ggplot() +
  aes(y = total, x = year, group = Country, color = Country) +
  geom_line() + 
  # guides(fill=FALSE, color=FALSE) +
  theme(axis.text.x = element_text(angle = 90, hjust = 1))

p +
  transition_time(year) +
ease_aes('linear')

no non-missing arguments to min; returning InfError: time data must either be integer, numeric, POSIXct, Date, difftime, orhms

---
title: "Bibliographic Studies"
subtitle: "SEER Research Per Countries / Who is doing SEER Research?"
author: "Serdar Balcı, MD, Pathologist"
date: '`r format(Sys.Date())`'
output: 
  html_notebook: 
    code_folding: hide
    fig_caption: yes
    highlight: kate
    theme: cerulean
    toc_float: yes
  html_document: 
    code_folding: hide
    df_print: kable
    fig_caption: yes
    highlight: kate
    keep_md: yes
    theme: cerulean
    toc_float: yes
---



```{r global_options, include=FALSE}
knitr::opts_chunk$set(fig.width = 12, fig.height = 8, fig.path = 'figure/', echo = FALSE, warning = FALSE, message = FALSE, error = FALSE, eval = TRUE, tidy = TRUE, comment = NA)
```

```{r library, include=FALSE}
library(tidyverse)
```


```{r}
state.name
```


```{r}
# install.packages("maps")
# library(maps)
# x <- map("world", plot=FALSE)
# glimpse(x)
# x$names

```

```{r}
install.packages("rworldmap")
library(rworldmap)
vignette('rworldmap')
data(countryExData)
countryExData
```












SEER China vs others

https://www.rdocumentation.org/packages/bayesTFR/versions/6.1-2/topics/country.names


https://stat.ethz.ch/R-manual/R-devel/library/datasets/html/state.html




# Who works on SEER {.tabset .tabset-fade .tabset-pills}

If you want to see the code used in the analysis please click the code button on the right upper corner or throughout the page.  
Select from the tabs below.

---

## Aim 

**Aim:**



---

## Data retriveal from PubMed using EDirect 

Articles are downloaded as `xml`.

```{r Search PubMed write all data as xml, eval=FALSE, include=FALSE}
myTerm <- rstudioapi::terminalCreate(show = FALSE)
rstudioapi::terminalSend(
    myTerm,
    "esearch -db pubmed -query \"'SEER Program'[Mesh]
\" -datetype PDAT -mindate 1800 -maxdate 3000 | efetch -format xml > data/pubmed_result_SEER_MeSH.xml \n"
)
Sys.sleep(1)
repeat {
    Sys.sleep(0.1)
    if (rstudioapi::terminalBusy(myTerm) == FALSE) {
        print("Code Executed")
        break
    }
}
```



```{r extract journal names from all data xml, message=FALSE, warning=FALSE}
myTerm <- rstudioapi::terminalCreate(show = FALSE)
rstudioapi::terminalSend(
myTerm,
"xtract -input data/pubmed_result_SEER_MeSH.xml -pattern PubmedArticle -sep ' ' -def 'na' -element MedlineCitation/PMID PubDate/Year Affiliation> data/SEER_countries.csv \n"
)
Sys.sleep(1)
repeat {
Sys.sleep(0.1)
if (rstudioapi::terminalBusy(myTerm) == FALSE) {
print("Code Executed")
break
}
}
```


```{r}
library(readr)
SEER_countries <- read_delim("data/SEER_countries.csv", 
    "\t", escape_double = FALSE, col_names = c("PMID", "year", "Affiliations"), 
    na = "NA", trim_ws = TRUE)
# View(SEER_countries)
```

```{r}
countries <- read_delim("data/countries.txt", delim = "|", col_names = c("abb", "country"))

country <- countries$country

country <- c(country, state.name)

country[80] <- "Georgia_"

```



```{r}
# SEER_countries <- cbind(SEER_countries, setNames(lapply(country, function(x) x=NA), country))

# names(SEER_countries)[254] <- "GeorgiaUSA"


```

```{r}
# grepl(pattern = "China", x = SEER_countries$Affiliations)
```


```{r}
# deneme1 <- grepl(pattern = country[44], x = SEER_countries$Affiliations)
    
# deneme2 <- sapply(country, function(x) grepl(x, SEER_countries$Affiliations))

# sum(deneme1 != deneme2[,44])

```

```{r}
# deneme2 <- as.data.frame(deneme2)

# sum(deneme2$Turkey)
```

```{r}
SEER_countries <- cbind(SEER_countries, sapply(country, function(x) grepl(x, SEER_countries$Affiliations)))
```


```{r}
dim(SEER_countries)[1]
```

At the time of the research the number of articles with 'SEER Program'[Mesh] formula is `r dim(SEER_countries)[1]`.

```{r}
# deneme <- colSums(SEER_countries[,-(1:3)])

# deneme <- as.data.frame(deneme)

# deneme <- rownames_to_column(deneme, var = "countries")

# names(deneme) <- c("countries", "number")

# deneme %>% arrange(desc(number))


```

```{r}
SEER_countries[SEER_countries == FALSE] <- 0

SEER_countries[SEER_countries == TRUE] <- 1

```



```{r}
countryTotals <- SEER_countries %>% 
  select(-c(1:3)) %>% 
  summarise_all(funs(sum)) 

countryTotals[which(countryTotals>0)]

publisherCountries <- names(countryTotals[which(countryTotals>0)])

SEER_countries <- SEER_countries %>% 
  select(c(1:3, publisherCountries))

```



```{r}
deneme <- SEER_countries %>% 
  gather(key = "Country", value = "Number", -c(1:3)) %>% 
  group_by(Country, year) %>% 
  summarise(total = sum(Number))
```


```{r}
deneme %>% 
  filter(year != "na") %>%
  filter(year != "2017") %>% 
  filter(year != "2018") %>% 
ggplot() +
  aes(y = total, x = year, group = Country, color = Country) +
  geom_line() + 
  guides(fill=FALSE, color=FALSE) +
  theme(axis.text.x = element_text(angle = 90, hjust = 1))
```


```{r}
USAnames <- names(SEER_countries) %in% state.name

Others <- setdiff(names(SEER_countries[-c(1:3)]), c(USAnames,"United States", "China"))


deneme2 <- SEER_countries %>% 
  mutate(
    sumUSA = rowSums(
      select(., one_of(USAnames), `United States`)
      )
    ) %>% 
mutate(
    sumOthers = rowSums(
      select(., one_of(Others))
      )
    ) %>% 
  select(PMID, year, China, USA = sumUSA, Others = sumOthers)

```

```{r}
deneme3 <- deneme2 %>% 
  gather(key = "Country", value = "Number", -c(1:2)) %>% 
  group_by(PMID, Country, year) %>% 
  summarise(total = sum(Number)) %>% 
  filter(year != "na") %>%
  filter(year != "2017") %>% 
  filter(year != "2018") %>% 
  filter(total != "0")
```


```{r}
# which(duplicated(deneme3$PMID))
# which(duplicated(deneme3$PMID))-1

# deneme3[which(duplicated(deneme3$PMID)),]

together <- bind_cols(
First = deneme3$Country[which(duplicated(deneme3$PMID))],
Second = deneme3$Country[which(duplicated(deneme3$PMID))-1]
)

table(together$First, together$Second) %>% addmargins()
bind_cols(

```



```{r}
deneme4 <- deneme2 %>% 
  gather(key = "Country", value = "Number", -c(1:2)) %>% 
  group_by(Country, year) %>% 
  summarise(total = sum(Number)) %>% 
  filter(year != "na") %>%
  filter(year != "2017") %>% 
  filter(year != "2018") %>% 
  filter(total != "0")
```



```{r}
deneme4 %>% 
ggplot() +
  aes(y = total, x = year, group = Country, color = Country) +
  geom_line() + 
  # guides(fill=FALSE, color=FALSE) +
  theme(axis.text.x = element_text(angle = 90, hjust = 1))
```



<iframe src="https://www.facebook.com/plugins/post.php?href=https%3A%2F%2Fwww.facebook.com%2Fserdarbalcimdpathologist%2Fposts%2F1919706581479009&width=500" width="500" height="529" style="border:none;overflow:hidden" scrolling="no" frameborder="0" allowTransparency="true" allow="encrypted-media"></iframe>


<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">While helping the preparation of <a href="https://twitter.com/hashtag/PBPath?src=hash&amp;ref_src=twsrc%5Etfw">#PBPath</a> Journal Watch (<a href="https://t.co/WiBsJixzlc">https://t.co/WiBsJixzlc</a>)  I thought that many SEER <a href="https://twitter.com/NCICancerStats?ref_src=twsrc%5Etfw">@NCICancerStats</a> studies are from China. So using edirect <a href="https://twitter.com/NCBI?ref_src=twsrc%5Etfw">@NCBI</a> and <a href="https://twitter.com/hashtag/RStats?src=hash&amp;ref_src=twsrc%5Etfw">#RStats</a> I draw the attached graph. What do you think? Do Chinese do research on SEER that much? <a href="https://t.co/3Op5r9ofbK">pic.twitter.com/3Op5r9ofbK</a></p>&mdash; Serdar Balcı (@serdarbalci) <a href="https://twitter.com/serdarbalci/status/1048663302916788224?ref_src=twsrc%5Etfw">October 6, 2018</a></blockquote><script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>


```{r}
p <- deneme4 %>% 
ggplot() +
  aes(y = total, x = year, group = Country, color = Country) +
  geom_line() + 
  # guides(fill=FALSE, color=FALSE) +
  theme(axis.text.x = element_text(angle = 90, hjust = 1))


```



```{r}


  
```












<!-- ```{r Search PubMed write 2018 data as xml, eval=FALSE, include=FALSE} -->
<!-- myTerm <- rstudioapi::terminalCreate(show = FALSE) -->
<!-- rstudioapi::terminalSend( -->
<!--     myTerm, -->
<!--     "esearch -db pubmed -query \"Turkey[Affiliation]\" -datetype PDAT -mindate 2018 -maxdate 3000 | efetch -format xml > data/Turkey_2018.xml \n" -->
<!-- ) -->
<!-- Sys.sleep(1) -->
<!-- repeat { -->
<!--     Sys.sleep(0.1) -->
<!--     if (rstudioapi::terminalBusy(myTerm) == FALSE) { -->
<!--         print("Code Executed") -->
<!--         break -->
<!--     } -->
<!-- } -->
<!-- ``` -->




<!-- ```{r Search PubMed write all data as xml, eval=FALSE, include=FALSE} -->
<!-- myTerm <- rstudioapi::terminalCreate(show = FALSE) -->
<!-- rstudioapi::terminalSend( -->
<!--     myTerm, -->
<!--     "esearch -db pubmed -query \"Turkey[Affiliation]\" -datetype PDAT -mindate 1800 -maxdate 3000 | efetch -format xml > data/Turkey_all.xml \n" -->
<!-- ) -->
<!-- Sys.sleep(1) -->
<!-- repeat { -->
<!--     Sys.sleep(0.1) -->
<!--     if (rstudioapi::terminalBusy(myTerm) == FALSE) { -->
<!--         print("Code Executed") -->
<!--         break -->
<!--     } -->
<!-- } -->
<!-- ``` -->





<!-- ```{r Search PubMed get 2018 data on the fly, eval=FALSE, include=FALSE} -->
<!-- myTerm <- rstudioapi::terminalCreate(show = FALSE) -->
<!-- rstudioapi::terminalSend( -->
<!--     myTerm, -->
<!--     "esearch -db pubmed -query \"Turkey[Affiliation]\" -datetype PDAT -mindate 2018 -maxdate 3000 | efetch -format xml | xtract  -pattern PubmedArticle -element MedlineCitation/PMID PubDate/Year Journal/ISSN ISOAbbreviation> data/onthefly_Turkey_2018.csv \n" -->
<!-- ) -->
<!-- Sys.sleep(1) -->
<!-- repeat { -->
<!--     Sys.sleep(0.1) -->
<!--     if (rstudioapi::terminalBusy(myTerm) == FALSE) { -->
<!--         print("Code Executed") -->
<!--         break -->
<!--     } -->
<!-- } -->
<!-- ``` -->



<!-- ```{r Search PubMed get all data on the fly, eval=FALSE, include=FALSE} -->
<!-- myTerm <- rstudioapi::terminalCreate(show = FALSE) -->
<!-- rstudioapi::terminalSend( -->
<!--     myTerm, -->
<!--     "esearch -db pubmed -query \"Turkey[Affiliation]\" -datetype PDAT -mindate 1800 -maxdate 3000 | efetch -format xml | xtract  -pattern PubmedArticle -element MedlineCitation/PMID PubDate/Year Journal/ISSN ISOAbbreviation> data/onthefly_Turkey_all.csv \n" -->
<!-- ) -->
<!-- Sys.sleep(1) -->
<!-- repeat { -->
<!--     Sys.sleep(0.1) -->
<!--     if (rstudioapi::terminalBusy(myTerm) == FALSE) { -->
<!--         print("Code Executed") -->
<!--         break -->
<!--     } -->
<!-- } -->
<!-- ``` -->



<!-- Journal Names are extracted from xml. -->



<!-- ```{r extract journal names from 2018 xml, eval=FALSE, message=FALSE, warning=FALSE, include=FALSE} -->
<!-- myTerm <- rstudioapi::terminalCreate(show = FALSE) -->
<!-- rstudioapi::terminalSend( -->
<!-- myTerm, -->
<!-- "xtract -input data/Turkey_2018.xml -pattern PubmedArticle -element MedlineCitation/PMID PubDate/Year Journal/ISSN ISOAbbreviation > data/Turkey2018.csv \n" -->
<!-- ) -->
<!-- Sys.sleep(1) -->
<!-- repeat { -->
<!-- Sys.sleep(0.1) -->
<!-- if (rstudioapi::terminalBusy(myTerm) == FALSE) { -->
<!-- print("Code Executed") -->
<!-- break -->
<!-- } -->
<!-- } -->
<!-- ``` -->


<!-- ```{r extract journal names from all data xml, message=FALSE, warning=FALSE} -->
<!-- myTerm <- rstudioapi::terminalCreate(show = FALSE) -->
<!-- rstudioapi::terminalSend( -->
<!-- myTerm, -->
<!-- "xtract -input data/Turkey_all.xml -pattern PubmedArticle -sep ' ' -def 'na' -element MedlineCitation/PMID Journal/ISSN ISOAbbreviation PubDate/Year > data/TurkeyAll.csv \n" -->
<!-- ) -->
<!-- Sys.sleep(1) -->
<!-- repeat { -->
<!-- Sys.sleep(0.1) -->
<!-- if (rstudioapi::terminalBusy(myTerm) == FALSE) { -->
<!-- print("Code Executed") -->
<!-- break -->
<!-- } -->
<!-- } -->
<!-- ``` -->



<!-- ---- -->


<!-- ## Retrieval of Data of Properties of Journals -->



<!-- [nlmcatalog_result_journals_pmc.xml](https://www.ncbi.nlm.nih.gov/portal/utils/file_backend.cgi?Db=nlmcatalog&HistoryId=NCID_1_69755278_130.14.18.97_5555_1534585934_3590606783_0MetA0_S_HStore&QueryKey=2&Sort=PubDate&Filter=all&CompleteResultCount=2559&Mode=file&View=xml&p$l=Email&portalSnapshot=%2Fprojects%2Fentrez%2Fpubmed%2FPubMedGroup@1.136&BaseUrl=&PortName=live&RootTag=NLMCatalogRecordSet&DocType=NLMCatalogRecordSet%20PUBLIC%20%22-%2F%2FNLM%2F%2FDTD%20NLMCatalogRecordSet,%201st%20June%202017%2F%2FEN%22%20%22https://www.nlm.nih.gov/databases/dtd/nlmcatalogrecordset_170601.dtd%22&FileName=&ContentType=xml) -->


<!-- [nlmcatalog_result_currentlyindexed.xml](https://www.ncbi.nlm.nih.gov/portal/utils/file_backend.cgi?Db=nlmcatalog&HistoryId=NCID_1_69755278_130.14.18.97_5555_1534585934_3590606783_0MetA0_S_HStore&QueryKey=1&Sort=PubDate&Filter=all&CompleteResultCount=5242&Mode=file&View=xml&p$l=Email&portalSnapshot=%2Fprojects%2Fentrez%2Fpubmed%2FPubMedGroup@1.136&BaseUrl=&PortName=live&RootTag=NLMCatalogRecordSet&DocType=NLMCatalogRecordSet%20PUBLIC%20%22-%2F%2FNLM%2F%2FDTD%20NLMCatalogRecordSet,%201st%20June%202017%2F%2FEN%22%20%22https://www.nlm.nih.gov/databases/dtd/nlmcatalogrecordset_170601.dtd%22&FileName=&ContentType=xml) -->


<!-- [scimagojr2017.csv](https://www.scimagojr.com/journalrank.php?out=xls) -->

<!-- [scimagojr2017-wos.csv](https://www.scimagojr.com/journalrank.php?wos=true&out=xls) -->


<!-- ![](images/scidata.png) -->





<!-- --- -->






<!-- ## Analysis -->

<!-- ```{r Organize Journal Data 1, message=FALSE, warning=FALSE} -->
<!-- library(tidyverse) -->
<!-- library(readr) -->

<!-- TurkeyAll <- read_delim("data/TurkeyAll.csv",  -->
<!--     "\t", escape_double = FALSE, col_names = FALSE, -->
<!--     na = "na", trim_ws = TRUE) -->

<!-- names(TurkeyAll) <- c("PMID", "ISSN", "JournalName", "Year") -->

<!-- # dim(TurkeyAll)[1] -->

<!-- # min(TurkeyAll[,4], na.rm = TRUE) -->

<!-- # max(TurkeyAll[,4], na.rm = TRUE) -->

<!-- # glimpse(TurkeyAll) -->

<!-- ``` -->



<!-- ```{r Organize Journal Data 2} -->
<!-- uniqueJournals <- TurkeyAll %>%  -->
<!--     select(JournalName, ISSN) %>%  -->
<!--     unique() -->

<!-- # dim(uniqueJournals)[1] -->

<!-- ``` -->


<!-- ```{r Organize Journal Data 3} -->

<!-- TurkeyAll2 <- TurkeyAll %>%  -->
<!--     mutate(Journal = paste(JournalName, ISSN, sep = " ISSN ")) -->

<!-- ArticlesByYear <- TurkeyAll2 %>%  -->
<!--     group_by(Journal, Year) %>%  -->
<!--     summarise(n = n()) -->

<!-- ArticlesByYear <- ArticlesByYear %>%  -->
<!--     spread(key = Year, value = n) -->

<!-- TurkeyAll2 <- TurkeyAll2 %>%  -->
<!--     select(Journal, JournalName, ISSN) %>%  -->
<!--     unique() -->

<!-- ArticlesByYear <- left_join(ArticlesByYear, TurkeyAll2, by = "Journal")  -->

<!-- ArticlesByYear <- ArticlesByYear %>% -->
<!--     select( -->
<!--     Journal, JournalName, ISSN, everything() -->
<!--     ) -->

<!-- ``` -->


<!-- ```{r scimagojr2017} -->

<!-- ``` -->



<!-- -element MedlineTA  NLMCatalogRecord/NlmUniqueID -def 'na' -sep '\t' -block TitleAlternate/Title   -element TitleAlternate/Title    -->

<!-- "xtract -input data/nlmcatalog_result_currentlyindexed.xml -pattern NCBICatalogRecord -element ISSNLinking -def 'na' -sep ' ' -block TitleAlternate/Title -if TitleAlternate/Title@Sort -equals N -element TitleAlternate/Title  > data/nlmcatalog.csv \n" -->

<!-- -sep '\t'  -->


<!-- NLMCatalogRecord/NlmUniqueID ISSNLinking -->

<!-- ```{r nlmcatalog, message=FALSE, warning=FALSE} -->
<!-- myTerm <- rstudioapi::terminalCreate(show = FALSE) -->
<!-- rstudioapi::terminalSend( -->
<!-- myTerm, -->
<!-- "xtract -input data/nlmcatalog_result_currentlyindexed.xml -pattern NCBICatalogRecord -tab '|' -element NLMCatalogRecord/NlmUniqueID -block ISSNLinking -tab '|' -element ISSNLinking -block Title -if Title@Sort -equals N -def 'na' -tab '|' -element TitleAlternate/Title > data/nlmcatalog.csv \n" -->
<!-- ) -->
<!-- Sys.sleep(1) -->
<!-- repeat { -->
<!-- Sys.sleep(0.1) -->
<!-- if (rstudioapi::terminalBusy(myTerm) == FALSE) { -->
<!-- print("Code Executed") -->
<!-- break -->
<!-- } -->
<!-- } -->

<!-- ```  -->


<!-- ```{r} -->
<!-- library(readr) -->
<!-- nlmcatalog <- read_delim("data/nlmcatalog.csv",  -->
<!--                          delim = "|", -->
<!--                          escape_double = FALSE, -->
<!--                          col_names = FALSE,  -->
<!--                          trim_ws = TRUE) -->

<!-- ``` -->

<!-- ```{r} -->

<!-- library(xml2) -->
<!-- data <- read_xml("data/nlmcatalog_result_currentlyindexed.xml") -->

<!-- # Point locations -->
<!-- point <- data %>% xml_find_all("//pointer") -->
<!-- point %>% xml_attr("latitude") %>% as.numeric() -->
<!-- point %>% xml_attr("longitude") %>% as.numeric() -->

<!-- # Start time -->
<!-- data %>%  -->
<!--   xml_find_all("//start-valid-time") %>%  -->
<!--   xml_text() -->

<!-- # Temperature -->
<!-- data %>%  -->
<!--   xml_find_all("//temperature[@type='hourly']/value") %>%  -->
<!--   xml_text() %>%  -->
<!--   as.integer() -->



<!-- ``` -->


<!-- --- -->

<!-- ## Results -->

<!-- - PubMed'de **`r min(TurkeyAll[,4], na.rm = TRUE)`-`r max(TurkeyAll[,4], na.rm = TRUE)`** tarihleri arasında, *Türkiye* adresli **`r dim(TurkeyAll)[1]`** adet yayın mevcuttur. -->

<!-- - PubMed'de **`r min(TurkeyAll[,4], na.rm = TRUE)`-`r max(TurkeyAll[,4], na.rm = TRUE)`** tarihleri arasında, *Türkiye* adresli yayınlar **`r dim(uniqueJournals)[1]`** farklı dergide yayımlanmıştır. -->





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<!-- ## Discussion -->

<!-- türkiye adresli olup da pubmedde yer alan makaleler hangi dergilerde kaçar adet yayınlanmış -->


<!-- The retrieved information was compiled in a table. -->





<!-- **Methods:** -->









<!-- **Result:** -->


<!-- ```{r plot 1} -->
<!-- ggplot(data = articles_per_journal, aes(x = Journal, y = n, group = Country, -->
<!--                                      colour = Country, shape = Country, -->
<!--                                      levels = Country -->
<!-- )) + -->
<!--     geom_point() + -->
<!--     labs(x = "Journals with decreasing impact factor", y = "Number of Articles") + -->
<!--     ggtitle("Pathology Articles Per Journal") +  -->
<!--     theme(plot.title = element_text(hjust = 0.5), -->
<!--           axis.text.x=element_blank()) -->

<!-- ``` -->


<!-- **Comment:** -->




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<!-- ## Feedback -->

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<!-- This document will be continiously updated and the last update was on `r Sys.Date()`. -->

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<!-- ## Back to Main Menu -->

<!-- [Main Page for Bibliographic Analysis](https://sbalci.github.io/pubmed/BibliographicStudies.html) -->

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